smoothing splines1 Chap 07 Moving Beyond Linearity Polynomial Regression linaer function : $f(x) = \beta_{0} + \beta_{1}x$ quadratic functon : $f(x) = \beta_{0} + \beta_{1}x + \beta_{2}x^{2}$ cubic function : $f(x) = \beta_{0} + \beta_{1}x + \beta_{2}x^{2} + \beta_{3}x^{3}$ $\vdots$ $f(x) = \beta_{0} + \beta_{1}x + \beta_{2}x^{2} + ... + \beta_{d}x^{d}$ 기존 선형 모델 $f(x_{1}, ,,., x_{d}) = \beta_{0} + \beta_{1}x_{1} + \beta_{2}x_{2} + ... + \beta_{d.. 2019. 12. 16. 이전 1 다음
